Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2004.08c
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- Pages.671-674
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- 2004
Classification System of EEG Signals During Mental Tasks
- Seo Hee Don (Yeungnam University) ;
- Kim Min Soo (Yeungnam University) ;
- Eoh Soo Hae (Yeungnam college of Science and Tech.) ;
- Huang Xiyue (Chongqing University) ;
- Rajanna K. (Indian institute of Science)
- Published : 2004.08.01
Abstract
We propose accurate classification method of EEG signals during mental tasks. In the experimental task, the tasks of subjects show 3 major measurements; there are mathematical tasks, color decision tasks, and Chinese phrase tasks. The classifier implemented for this work is a feed-forward neural network that trained with the error back-propagation algorithm. The new BCI system is proposed by using neural network. In this system, tr e architecture of the neural network is composed of three layers with a feed-forward network, which implements the error back propagation-learning algorithm. By applying this algorithm to 4 subjects, we achieved
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